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submit a CV, cover letter, writing sample, transcript, and the names and contact information of three references. Unofficial transcripts are sufficient and may be uploaded with the application. Applicants
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; have (or expect to have) a PhD in Molecular Biology or related field; research experience in one or more of the following protein purification, protein-nucleic acid biochemistry, cryo-electron
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contributions and expertise *Names and contact information for three references PhD is expected by the start date. Appointments are for one year, with the possibility of renewal based on continued funding and
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accordance to Lab safety standards set by Princeton University as well as the Atkinson and Avalos labs. *10% - Recording data and performing data analysis; organizing data into figures. Regular reporting
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experience preferred (HITRAN/HITEMP)Familiarity with mechanical, electrical, and data acquisition systems (e.g., vacuum systems, high-pressure gas handling, analog signals/switching, high-speed data
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. A major focus will be on the identification of small molecules from mass spectrometry-based metabolomics data, in part based on generative AI models of chemical structures. The position is available
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, and align ultrafast optical setups, integrate setups with measurement electronics for data acquisition, etc. Experience in the following areas is beneficial but not required: nonlinear optics (e.g
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data dissemination capabilities for making high-resolution earth system model output available to a diverse audience. Candidates must have a PhD in computer science, environmental and physical sciences
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] Subject Areas: Computational Biology / Data Analytics Machine Learning / Machine Learning Analytical Chemistry / Current Advances in Chemistry & Biochemistry Computational Science and Engineering
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mechanical, electrical, and data acquisition systems (e.g., vacuum systems, high-pressure gas handling, analog signals/switching, high-speed data acquisition) Strong publication record In addition to technical